Large Language Models: RoBERTa — A Robustly Optimized BERT Approach

Large Language Models: RoBERTa — A Robustly Optimized BERT Approach

Learn about key techniques used for BERT optimisation

Introduction

The appearance of the BERT model led to significant progress in NLP. Deriving its architecture from Transformer, BERT achieves state-of-the-art results on various downstream tasks: language modeling, next sentence prediction, question answering, NER tagging, etc.

Large Language Models: BERT — Bidirectional Encoder Representations from Transformer

Despite the excellent performance of BERT, researchers still continued experimenting with its configuration in hopes …

architecture art bert language language models large language large language models machine learning modeling ner next nlp prediction progress question answering roberta state tagging tasks transformer transformers